{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jura\Documents\psrm_replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 8 Jun 2020, 14:18:14

{com}. do "C:\Users\jura\AppData\Local\Temp\STD39b0_000000.tmp"
{txt}
{com}. tsset year
{res}{txt}{col 9}time variable:  {res}{col 25}year, 1972 to 2014
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. *Figure 1(a)
. *Percentage of Jurisdiction-Stripping Laws
. twoway line pctstrippl year if year > 1972, lcolor(black) lwidth(medthin) scheme(s1mono) xtitle(Year) xlabel(1973(5)2014) ytitle(Percentage of Jurisdiction-Stripping Laws) ylabel(0(2)8)
{res}{txt}
{com}. 
. *Figure 1(b)
. *Count of Jurisdiction-Stripping Laws vs. Court-Curbing Bills Proposed
. twoway line jurstriptotal curbingBills year if year > 1972, lcolor(black) lwidth(medthin) scheme(s1mono) xtitle(Year) xlabel(1973(5)2014) ytitle(Number of Congressional Actions) legend(order(1 "Jurisdiction Stripping Laws" 2 "Court-Curbing Bills"))
{res}{txt}
{com}. 
. 
. *Table 1 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.99746}  
Iteration 1:{space 3}log likelihood = {res:-104.99726}  
Iteration 2:{space 3}log likelihood = {res:-104.99726}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.20771}  
Iteration 1:{space 3}log likelihood = {res:-100.39648}  
Iteration 2:{space 3}log likelihood = {res:-99.352585}  
Iteration 3:{space 3}log likelihood = {res:-99.319281}  
Iteration 4:{space 3}log likelihood = {res:-99.319187}  
Iteration 5:{space 3}log likelihood = {res:-99.319187}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     30.59
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-99.319187{txt}{col 49}Pseudo R2{col 67}= {res}    0.1334

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  jurstriptotal{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}conjudge {c |}{col 17}{res}{space 2} 8.366895{col 29}{space 2} 3.607402{col 40}{space 1}    2.32{col 49}{space 3}0.020{col 57}{space 4} 1.296516{col 70}{space 3} 15.43727
{txt}{space 7}conlegis {c |}{col 17}{res}{space 2} -9.10808{col 29}{space 2}  3.59836{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4}-16.16074{col 70}{space 3}-2.055424
{txt}totalplHundreds {c |}{col 17}{res}{space 2} .5452601{col 29}{space 2} .0910789{col 40}{space 1}    5.99{col 49}{space 3}0.000{col 57}{space 4} .3667488{col 70}{space 3} .7237715
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.387936{col 29}{space 2} .9730507{col 40}{space 1}   -1.43{col 49}{space 3}0.154{col 57}{space 4} -3.29508{col 70}{space 3} .5192086
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/lnalpha {c |}{col 17}{res}{space 2}-2.049003{col 29}{space 2} .4876019{col 57}{space 4}-3.004685{col 70}{space 3}-1.093321
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          alpha {c |}{col 17}{res}{space 2} .1288633{col 29}{space 2}  .062834{col 57}{space 4} .0495543{col 70}{space 3} .3351017
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}11.36{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Table 1 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands baileyDist_Midpoint totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-95.570842}  
Iteration 1:{space 3}log likelihood = {res:-95.529713}  
Iteration 2:{space 3}log likelihood = {res:-95.529701}  
Iteration 3:{space 3}log likelihood = {res:-95.529701}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.621391}  
Iteration 1:{space 3}log likelihood = {res:-94.643805}  
Iteration 2:{space 3}log likelihood = {res:-92.586863}  
Iteration 3:{space 3}log likelihood = {res:-92.311229}  
Iteration 4:{space 3}log likelihood = {res:-92.272208}  
Iteration 5:{space 3}log likelihood = {res:-92.271987}  
Iteration 6:{space 3}log likelihood = {res:-92.271987}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     30.17
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-92.271987{txt}{col 49}Pseudo R2{col 67}= {res}    0.1405

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      jurstriptotal{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}conjudge {c |}{col 21}{res}{space 2} 10.01395{col 33}{space 2}  4.29486{col 44}{space 1}    2.33{col 53}{space 3}0.020{col 61}{space 4} 1.596178{col 74}{space 3} 18.43172
{txt}{space 11}conlegis {c |}{col 21}{res}{space 2}-8.843444{col 33}{space 2} 3.844832{col 44}{space 1}   -2.30{col 53}{space 3}0.021{col 61}{space 4}-16.37918{col 74}{space 3}-1.307711
{txt}{space 19} {c |}
{space 2}workloadThousands {c |}
{space 16}D1. {c |}{col 21}{res}{space 2} .0167963{col 33}{space 2} .0209867{col 44}{space 1}    0.80{col 53}{space 3}0.424{col 61}{space 4}-.0243369{col 74}{space 3} .0579295
{txt}{space 19} {c |}
baileyDist_Midpoint {c |}{col 21}{res}{space 2}-.5100263{col 33}{space 2} .5024703{col 44}{space 1}   -1.02{col 53}{space 3}0.310{col 61}{space 4} -1.49485{col 74}{space 3} .4747974
{txt}{space 4}totalplHundreds {c |}{col 21}{res}{space 2} .5149628{col 33}{space 2} .0918955{col 44}{space 1}    5.60{col 53}{space 3}0.000{col 61}{space 4}  .334851{col 74}{space 3} .6950747
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-1.716356{col 33}{space 2} 1.123411{col 44}{space 1}   -1.53{col 53}{space 3}0.127{col 61}{space 4}-3.918201{col 74}{space 3}  .485488
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/lnalpha {c |}{col 21}{res}{space 2} -2.19435{col 33}{space 2} .5752711{col 61}{space 4}-3.321861{col 74}{space 3} -1.06684
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .1114309{col 33}{space 2}  .064103{col 61}{space 4} .0360856{col 74}{space 3} .3440942
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}6.52{col 56}{txt}Prob >= chibar2 = {res}0.005
{txt}
{com}. 
. *Table 1 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-92.610991}  
Iteration 1:{space 3}log likelihood = {res:-92.583598}  
Iteration 2:{space 3}log likelihood = {res:-92.583594}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.948134}  
Iteration 1:{space 3}log likelihood = {res:-93.168083}  
Iteration 2:{space 3}log likelihood = {res:-91.211975}  
Iteration 3:{space 3}log likelihood = {res:-90.842453}  
Iteration 4:{space 3}log likelihood = {res:-90.699068}  
Iteration 5:{space 3}log likelihood = {res:-90.696483}  
Iteration 6:{space 3}log likelihood = {res:-90.696483}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     33.32
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-90.696483{txt}{col 49}Pseudo R2{col 67}= {res}    0.1552

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 9.055007{col 39}{space 2} 3.996251{col 50}{space 1}    2.27{col 59}{space 3}0.023{col 67}{space 4} 1.222499{col 80}{space 3} 16.88752
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-9.718172{col 39}{space 2} 3.593718{col 50}{space 1}   -2.70{col 59}{space 3}0.007{col 67}{space 4}-16.76173{col 80}{space 3}-2.674615
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 24.03765{col 39}{space 2} 11.73327{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} 1.040874{col 80}{space 3} 47.03443
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.2352164{col 39}{space 2} .4952615{col 50}{space 1}   -0.47{col 59}{space 3}0.635{col 67}{space 4}-1.205911{col 80}{space 3} .7354783
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .4842866{col 39}{space 2} .0877058{col 50}{space 1}    5.52{col 59}{space 3}0.000{col 67}{space 4} .3123863{col 80}{space 3} .6561869
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} -2.21805{col 39}{space 2} 1.039909{col 50}{space 1}   -2.13{col 59}{space 3}0.033{col 67}{space 4}-4.256235{col 80}{space 3}-.1798652
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.488603{col 39}{space 2} .7020371{col 67}{space 4}-3.864571{col 80}{space 3}-1.112636
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0830258{col 39}{space 2} .0582872{col 67}{space 4} .0209719{col 80}{space 3} .3286914
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}3.77{col 56}{txt}Prob >= chibar2 = {res}0.026
{txt}
{com}. 
. *Figure 2(a)
. quietly nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds
{txt}
{com}. quietly margins, at(conjudge=(0.24(.01)0.39))
{txt}
{com}. marginsplot, xlabel(0.24(.03)0.39) ylabel(0(5)15) plotopt(msymbol(none)) ciopts(color(gs10)) recastci(rarea) level(95) xtitle(Public Confidence in the Supreme Court) ytitle(Predicted Count of Jurisdiction-Stripping Laws) title("") scheme(s1mono)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: conjudge{p_end}
{res}{txt}
{com}. 
. *Figure 2(b)
. quietly nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds
{txt}
{com}. quietly margins, at(conlegis=(0.06(.01)0.24))
{txt}
{com}. marginsplot, xlabel(0.06(.03)0.24) ylabel(0(5)15) plotopt(msymbol(none)) ciopts(color(gs10)) recastci(rarea) level(95) xtitle(Public Confidence in Congress) ytitle(Predicted Count of Jurisdiction-Stripping Laws) title("") scheme(s1mono)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: conlegis{p_end}
{res}{txt}
{com}. 
. 
. ***Supplementary Appendix
. *Table 1 -- Model 1
. reg loggedPctStrip conjudge conlegis 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        42
{txt}{hline 13}{c +}{hline 34}   F(2, 39)        = {res}     3.11
{txt}       Model {c |} {res}  .91503964         2   .45751982   {txt}Prob > F        ={res}    0.0558
{txt}    Residual {c |} {res} 5.73572937        39  .147069984   {txt}R-squared       ={res}    0.1376
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0934
{txt}       Total {c |} {res} 6.65076901        41  .162213878   {txt}Root MSE        =   {res}  .3835

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}loggedPctS~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}conjudge {c |}{col 14}{res}{space 2} 5.605595{col 26}{space 2}  2.35434{col 37}{space 1}    2.38{col 46}{space 3}0.022{col 54}{space 4} .8434925{col 67}{space 3}  10.3677
{txt}{space 4}conlegis {c |}{col 14}{res}{space 2}-4.253593{col 26}{space 2}   2.0027{col 37}{space 1}   -2.12{col 46}{space 3}0.040{col 54}{space 4}-8.304436{col 67}{space 3}-.2027495
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2253715{col 26}{space 2} .6337869{col 37}{space 1}   -0.36{col 46}{space 3}0.724{col 54}{space 4}-1.507327{col 67}{space 3} 1.056584
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. bgodfrey

{txt}Breusch-Godfrey LM test for autocorrelation
{hline 13}{c TT}{hline 61}
{col 5}lags({it:p}){col 14}{c |}{col 25}chi2{col 44}df{col 63}Prob > chi2
{hline 13}{c +}{hline 61}
{col 6}  1{col 14}{c |}{res}{col 20}     0.209{col 43}  1{col 63}  0.6473
{txt}{hline 13}{c BT}{hline 61}
{col 25}H0: no serial correlation

{com}. 
. *Table 1 -- Model 2
. reg loggedPctStrip conjudge conlegis d.workloadThousands baileyDist_Midpoint

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        39
{txt}{hline 13}{c +}{hline 34}   F(4, 34)        = {res}     2.18
{txt}       Model {c |} {res} 1.32941878         4  .332354696   {txt}Prob > F        ={res}    0.0918
{txt}    Residual {c |} {res}  5.1762876        34  .152243753   {txt}R-squared       ={res}    0.2043
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1107
{txt}       Total {c |} {res} 6.50570638        38  .171202799   {txt}Root MSE        =   {res} .39018

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     loggedPctStrip{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}conjudge {c |}{col 21}{res}{space 2} 7.512464{col 33}{space 2} 2.844696{col 44}{space 1}    2.64{col 53}{space 3}0.012{col 61}{space 4} 1.731347{col 74}{space 3} 13.29358
{txt}{space 11}conlegis {c |}{col 21}{res}{space 2}-4.442658{col 33}{space 2} 2.211521{col 44}{space 1}   -2.01{col 53}{space 3}0.053{col 61}{space 4} -8.93701{col 74}{space 3} .0516928
{txt}{space 19} {c |}
{space 2}workloadThousands {c |}
{space 16}D1. {c |}{col 21}{res}{space 2} .0127249{col 33}{space 2} .0166831{col 44}{space 1}    0.76{col 53}{space 3}0.451{col 61}{space 4}-.0211793{col 74}{space 3} .0466291
{txt}{space 19} {c |}
baileyDist_Midpoint {c |}{col 21}{res}{space 2}-.3069159{col 33}{space 2} .3301025{col 44}{space 1}   -0.93{col 53}{space 3}0.359{col 61}{space 4}-.9777649{col 74}{space 3}  .363933
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.7315606{col 33}{space 2} .7517588{col 44}{space 1}   -0.97{col 53}{space 3}0.337{col 61}{space 4}-2.259318{col 74}{space 3} .7961971
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. bgodfrey

{txt}Breusch-Godfrey LM test for autocorrelation
{hline 13}{c TT}{hline 61}
{col 5}lags({it:p}){col 14}{c |}{col 25}chi2{col 44}df{col 63}Prob > chi2
{hline 13}{c +}{hline 61}
{col 6}  1{col 14}{c |}{res}{col 20}     0.254{col 43}  1{col 63}  0.6140
{txt}{hline 13}{c BT}{hline 61}
{col 25}H0: no serial correlation

{com}. 
. *Table 1 -- Model 3
. reg loggedPctStrip conjudge conlegis workloadPerJudge_District baileyDist_Midpoint

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        39
{txt}{hline 13}{c +}{hline 34}   F(4, 34)        = {res}     3.09
{txt}       Model {c |} {res} 1.73559643         4  .433899108   {txt}Prob > F        ={res}    0.0283
{txt}    Residual {c |} {res} 4.77010995        34  .140297351   {txt}R-squared       ={res}    0.2668
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1805
{txt}       Total {c |} {res} 6.50570638        38  .171202799   {txt}Root MSE        =   {res} .37456

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           loggedPctStrip{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2}   6.6624{col 39}{space 2} 2.772146{col 50}{space 1}    2.40{col 59}{space 3}0.022{col 67}{space 4} 1.028722{col 80}{space 3} 12.29608
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-4.569007{col 39}{space 2}  2.08176{col 50}{space 1}   -2.19{col 59}{space 3}0.035{col 67}{space 4}-8.799652{col 80}{space 3}-.3383615
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 17.39987{col 39}{space 2} 9.265699{col 50}{space 1}    1.88{col 59}{space 3}0.069{col 67}{space 4}-1.430296{col 80}{space 3} 36.23004
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.1403345{col 39}{space 2} .3306844{col 50}{space 1}   -0.42{col 59}{space 3}0.674{col 67}{space 4} -.812366{col 80}{space 3}  .531697
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.147787{col 39}{space 2} .7495535{col 50}{space 1}   -1.53{col 59}{space 3}0.135{col 67}{space 4}-2.671063{col 80}{space 3} .3754894
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. bgodfrey

{txt}Breusch-Godfrey LM test for autocorrelation
{hline 13}{c TT}{hline 61}
{col 5}lags({it:p}){col 14}{c |}{col 25}chi2{col 44}df{col 63}Prob > chi2
{hline 13}{c +}{hline 61}
{col 6}  1{col 14}{c |}{res}{col 20}     0.884{col 43}  1{col 63}  0.3470
{txt}{hline 13}{c BT}{hline 61}
{col 25}H0: no serial correlation

{com}. 
. *Table 1 -- Model 4
. reg loggedPctStrip conjudge conlegis workloadPerJudge_District baileyDist_Midpoint l.loggedPctStrip

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        39
{txt}{hline 13}{c +}{hline 34}   F(5, 33)        = {res}     2.45
{txt}       Model {c |} {res} 1.76174959         5  .352349917   {txt}Prob > F        ={res}    0.0539
{txt}    Residual {c |} {res} 4.74395679        33  .143756266   {txt}R-squared       ={res}    0.2708
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1603
{txt}       Total {c |} {res} 6.50570638        38  .171202799   {txt}Root MSE        =   {res} .37915

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           loggedPctStrip{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 6.963698{col 39}{space 2} 2.893656{col 50}{space 1}    2.41{col 59}{space 3}0.022{col 67}{space 4} 1.076509{col 80}{space 3} 12.85089
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-4.769154{col 39}{space 2}  2.15888{col 50}{space 1}   -2.21{col 59}{space 3}0.034{col 67}{space 4}-9.161427{col 80}{space 3}-.3768804
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 17.90249{col 39}{space 2} 9.452958{col 50}{space 1}    1.89{col 59}{space 3}0.067{col 67}{space 4}-1.329701{col 80}{space 3} 37.13467
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.1557157{col 39}{space 2} .3366728{col 50}{space 1}   -0.46{col 59}{space 3}0.647{col 67}{space 4}-.8406816{col 80}{space 3} .5292502
{txt}{space 25} {c |}
{space 11}loggedPctStrip {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.0647815{col 39}{space 2} .1518806{col 50}{space 1}   -0.43{col 59}{space 3}0.672{col 67}{space 4} -.373785{col 80}{space 3}  .244222
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-1.166874{col 39}{space 2} .7600556{col 50}{space 1}   -1.54{col 59}{space 3}0.134{col 67}{space 4}-2.713219{col 80}{space 3} .3794706
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. bgodfrey

{txt}Breusch-Godfrey LM test for autocorrelation
{hline 13}{c TT}{hline 61}
{col 5}lags({it:p}){col 14}{c |}{col 25}chi2{col 44}df{col 63}Prob > chi2
{hline 13}{c +}{hline 61}
{col 6}  1{col 14}{c |}{res}{col 20}     0.734{col 43}  1{col 63}  0.3916
{txt}{hline 13}{c BT}{hline 61}
{col 25}H0: no serial correlation

{com}. 
. 
. *Figure 1(a)
. quietly reg loggedPctStrip conjudge conlegis workloadPerJudge_District baileyDist_Midpoint
{txt}
{com}. quietly margins, at(conjudge=(0.24(.01)0.39)) atmeans
{txt}
{com}. marginsplot, xlabel(0.24(.03)0.39) plotopt(msymbol(none)) ciopts(color(gs10)) recastci(rarea) level(95) xtitle(Public Confidence in the Supreme Court) ytitle(Percentage of Jurisdiction-Stripping Laws (Logged)) title("") scheme(s1mono)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: conjudge{p_end}
{res}{txt}
{com}. 
. *Figure 1(b)
. quietly reg loggedPctStrip conjudge conlegis workloadPerJudge_District baileyDist_Midpoint
{txt}
{com}. quietly margins, at(conlegis=(0.06(.01)0.24)) atmeans
{txt}
{com}. marginsplot, xlabel(0.06(.03)0.24) plotopt(msymbol(none)) ciopts(color(gs10)) recastci(rarea) level(95) xtitle(Public Confidence in Congress) ytitle(Percentage of Jurisdiction-Stripping Laws (Logged)) title("") scheme(s1mono)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: conlegis{p_end}
{res}{txt}
{com}. 
. 
. *Table 2 -- Relative Confidence
. *Table 2 -- Model 1
. nbreg jurstriptotal courtCongRelativeConf totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-105.16311}  
Iteration 1:{space 3}log likelihood = {res:  -105.163}  
Iteration 2:{space 3}log likelihood = {res:  -105.163}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.17289}  
Iteration 1:{space 3}log likelihood = {res:-100.29478}  
Iteration 2:{space 3}log likelihood = {res:-99.376583}  
Iteration 3:{space 3}log likelihood = {res:-99.351953}  
Iteration 4:{space 3}log likelihood = {res:-99.351906}  
Iteration 5:{space 3}log likelihood = {res:-99.351906}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     30.52
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-99.351906{txt}{col 49}Pseudo R2{col 67}= {res}    0.1332

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        jurstriptotal{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
courtCongRelativeConf {c |}{col 23}{res}{space 2} 8.743376{col 35}{space 2} 3.298338{col 46}{space 1}    2.65{col 55}{space 3}0.008{col 63}{space 4} 2.278752{col 76}{space 3}   15.208
{txt}{space 6}totalplHundreds {c |}{col 23}{res}{space 2} .5385297{col 35}{space 2} .0873945{col 46}{space 1}    6.16{col 55}{space 3}0.000{col 63}{space 4} .3672396{col 76}{space 3} .7098197
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} -1.53857{col 35}{space 2} .7780541{col 46}{space 1}   -1.98{col 55}{space 3}0.048{col 63}{space 4}-3.063528{col 76}{space 3}-.0136119
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/lnalpha {c |}{col 23}{res}{space 2}-2.038208{col 35}{space 2} .4832642{col 63}{space 4}-2.985388{col 76}{space 3}-1.091027
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                alpha {c |}{col 23}{res}{space 2}  .130262{col 35}{space 2}  .062951{col 63}{space 4} .0505199{col 76}{space 3} .3358713
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}11.62{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. *Table 2 -- Model 2
. nbreg jurstriptotal courtCongRelativeConf d.workloadThousands baileyDist_Midpoint totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-95.583688}  
Iteration 1:{space 3}log likelihood = {res:-95.555227}  
Iteration 2:{space 3}log likelihood = {res:-95.555222}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.663875}  
Iteration 1:{space 3}log likelihood = {res:-94.679241}  
Iteration 2:{space 3}log likelihood = {res: -92.63578}  
Iteration 3:{space 3}log likelihood = {res:-92.370132}  
Iteration 4:{space 3}log likelihood = {res:-92.335374}  
Iteration 5:{space 3}log likelihood = {res:-92.335195}  
Iteration 6:{space 3}log likelihood = {res:-92.335195}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     30.05
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-92.335195{txt}{col 49}Pseudo R2{col 67}= {res}    0.1399

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        jurstriptotal{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
courtCongRelativeConf {c |}{col 23}{res}{space 2} 9.237107{col 35}{space 2} 3.695562{col 46}{space 1}    2.50{col 55}{space 3}0.012{col 63}{space 4}  1.99394{col 76}{space 3} 16.48027
{txt}{space 21} {c |}
{space 4}workloadThousands {c |}
{space 18}D1. {c |}{col 23}{res}{space 2} .0173139{col 35}{space 2} .0209143{col 46}{space 1}    0.83{col 55}{space 3}0.408{col 63}{space 4}-.0236774{col 76}{space 3} .0583051
{txt}{space 21} {c |}
{space 2}baileyDist_Midpoint {c |}{col 23}{res}{space 2}-.4583354{col 35}{space 2} .4795018{col 46}{space 1}   -0.96{col 55}{space 3}0.339{col 63}{space 4}-1.398142{col 76}{space 3} .4814709
{txt}{space 6}totalplHundreds {c |}{col 23}{res}{space 2} .5213629{col 35}{space 2} .0899684{col 46}{space 1}    5.79{col 55}{space 3}0.000{col 63}{space 4}  .345028{col 76}{space 3} .6976978
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-1.445465{col 35}{space 2}  .820904{col 46}{space 1}   -1.76{col 55}{space 3}0.078{col 63}{space 4}-3.054407{col 76}{space 3} .1634773
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/lnalpha {c |}{col 23}{res}{space 2}-2.203035{col 35}{space 2} .5783338{col 63}{space 4}-3.336548{col 76}{space 3}-1.069521
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                alpha {c |}{col 23}{res}{space 2} .1104674{col 35}{space 2} .0638871{col 63}{space 4} .0355595{col 76}{space 3} .3431728
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}6.44{col 56}{txt}Prob >= chibar2 = {res}0.006
{txt}
{com}. *Table 2 -- Model 3
. nbreg jurstriptotal courtCongRelativeConf workloadPerJudge_District baileyDist_Midpoint totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-92.694732}  
Iteration 1:{space 3}log likelihood = {res:-92.668816}  
Iteration 2:{space 3}log likelihood = {res:-92.668812}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.915941}  
Iteration 1:{space 3}log likelihood = {res:-92.973324}  
Iteration 2:{space 3}log likelihood = {res: -91.09254}  
Iteration 3:{space 3}log likelihood = {res:-90.763245}  
Iteration 4:{space 3}log likelihood = {res:-90.717172}  
Iteration 5:{space 3}log likelihood = {res:-90.716717}  
Iteration 6:{space 3}log likelihood = {res:-90.716717}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     33.28
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-90.716717{txt}{col 49}Pseudo R2{col 67}= {res}    0.1550

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}courtCongRelativeConf {c |}{col 27}{res}{space 2} 9.482194{col 39}{space 2} 3.395045{col 50}{space 1}    2.79{col 59}{space 3}0.005{col 67}{space 4} 2.828027{col 80}{space 3} 16.13636
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 23.35064{col 39}{space 2} 11.26375{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4} 1.274095{col 80}{space 3} 45.42719
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.2708031{col 39}{space 2} .4643549{col 50}{space 1}   -0.58{col 59}{space 3}0.560{col 67}{space 4}-1.180922{col 80}{space 3} .6393158
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .4818011{col 39}{space 2} .0870661{col 50}{space 1}    5.53{col 59}{space 3}0.000{col 67}{space 4} .3111547{col 80}{space 3} .6524475
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-2.343359{col 39}{space 2} .8360743{col 50}{space 1}   -2.80{col 59}{space 3}0.005{col 67}{space 4}-3.982035{col 80}{space 3}-.7046836
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.473775{col 39}{space 2} .6919028{col 67}{space 4}-3.829879{col 80}{space 3} -1.11767
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0842662{col 39}{space 2}  .058304{col 67}{space 4} .0217122{col 80}{space 3} .3270408
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}3.90{col 56}{txt}Prob >= chibar2 = {res}0.024
{txt}
{com}. 
. 
. *Table 3 -- Net Confidence
. *Table 3 -- Model 1
. nbreg jurstriptotal courtNetConf congNetConf totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-106.48761}  
Iteration 1:{space 3}log likelihood = {res:-106.48755}  
Iteration 2:{space 3}log likelihood = {res:-106.48755}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.30564}  
Iteration 1:{space 3}log likelihood = {res: -100.6353}  
Iteration 2:{space 3}log likelihood = {res:-99.723154}  
Iteration 3:{space 3}log likelihood = {res:-99.702996}  
Iteration 4:{space 3}log likelihood = {res:-99.702968}  
Iteration 5:{space 3}log likelihood = {res:-99.702968}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     29.82
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-99.702968{txt}{col 49}Pseudo R2{col 67}= {res}    0.1301

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  jurstriptotal{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}courtNetConf {c |}{col 17}{res}{space 2} 4.986738{col 29}{space 2} 2.230814{col 40}{space 1}    2.24{col 49}{space 3}0.025{col 57}{space 4} .6144237{col 70}{space 3} 9.359053
{txt}{space 4}congNetConf {c |}{col 17}{res}{space 2}-2.650395{col 29}{space 2} 1.119053{col 40}{space 1}   -2.37{col 49}{space 3}0.018{col 57}{space 4}-4.843698{col 70}{space 3}-.4570913
{txt}totalplHundreds {c |}{col 17}{res}{space 2}  .579115{col 29}{space 2} .0998685{col 40}{space 1}    5.80{col 49}{space 3}0.000{col 57}{space 4} .3833765{col 70}{space 3} .7748536
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -1.25342{col 29}{space 2} .7151345{col 40}{space 1}   -1.75{col 49}{space 3}0.080{col 57}{space 4}-2.655058{col 70}{space 3} .1482178
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/lnalpha {c |}{col 17}{res}{space 2}-1.958668{col 29}{space 2} .4586464{col 57}{space 4}-2.857598{col 70}{space 3}-1.059737
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          alpha {c |}{col 17}{res}{space 2} .1410462{col 29}{space 2} .0646903{col 57}{space 4} .0574065{col 70}{space 3} .3465468
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}13.57{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. *Table 3 -- Model 2
. nbreg jurstriptotal courtNetConf congNetConf d.workloadThousands baileyDist_Midpoint totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -94.64228}  
Iteration 1:{space 3}log likelihood = {res: -94.61415}  
Iteration 2:{space 3}log likelihood = {res:-94.614144}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.356375}  
Iteration 1:{space 3}log likelihood = {res:-94.767795}  
Iteration 2:{space 3}log likelihood = {res: -92.31375}  
Iteration 3:{space 3}log likelihood = {res:-92.200981}  
Iteration 4:{space 3}log likelihood = {res:-91.645506}  
Iteration 5:{space 3}log likelihood = {res:-91.632669}  
Iteration 6:{space 3}log likelihood = {res:-91.632663}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     31.45
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-91.632663{txt}{col 49}Pseudo R2{col 67}= {res}    0.1465

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      jurstriptotal{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}courtNetConf {c |}{col 21}{res}{space 2}  6.77109{col 33}{space 2} 2.618682{col 44}{space 1}    2.59{col 53}{space 3}0.010{col 61}{space 4} 1.638569{col 74}{space 3} 11.90361
{txt}{space 8}congNetConf {c |}{col 21}{res}{space 2} -3.28544{col 33}{space 2} 1.281498{col 44}{space 1}   -2.56{col 53}{space 3}0.010{col 61}{space 4}-5.797131{col 74}{space 3}  -.77375
{txt}{space 19} {c |}
{space 2}workloadThousands {c |}
{space 16}D1. {c |}{col 21}{res}{space 2} .0222921{col 33}{space 2} .0201421{col 44}{space 1}    1.11{col 53}{space 3}0.268{col 61}{space 4}-.0171857{col 74}{space 3} .0617699
{txt}{space 19} {c |}
baileyDist_Midpoint {c |}{col 21}{res}{space 2}-.8344616{col 33}{space 2}  .533944{col 44}{space 1}   -1.56{col 53}{space 3}0.118{col 61}{space 4}-1.880973{col 74}{space 3} .2120494
{txt}{space 4}totalplHundreds {c |}{col 21}{res}{space 2} .5584127{col 33}{space 2} .0974875{col 44}{space 1}    5.73{col 53}{space 3}0.000{col 61}{space 4} .3673408{col 74}{space 3} .7494846
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} -1.33956{col 33}{space 2} .7217065{col 44}{space 1}   -1.86{col 53}{space 3}0.063{col 61}{space 4}-2.754079{col 74}{space 3} .0749589
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/lnalpha {c |}{col 21}{res}{space 2}-2.247113{col 33}{space 2} .5902237{col 61}{space 4} -3.40393{col 74}{space 3}-1.090296
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .1057039{col 33}{space 2}  .062389{col 61}{space 4} .0332424{col 74}{space 3}  .336117
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}5.96{col 56}{txt}Prob >= chibar2 = {res}0.007
{txt}
{com}. *Table 3 -- Model 3
. nbreg jurstriptotal courtNetConf congNetConf workloadPerJudge_District baileyDist_Midpoint totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-90.885845}  
Iteration 1:{space 3}log likelihood = {res:-90.858918}  
Iteration 2:{space 3}log likelihood = {res:-90.858913}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.418745}  
Iteration 1:{space 3}log likelihood = {res:-92.790802}  
Iteration 2:{space 3}log likelihood = {res:-90.909968}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-90.346742}  
Iteration 4:{space 3}log likelihood = {res:-89.510702}  
Iteration 5:{space 3}log likelihood = {res:-89.424022}  
Iteration 6:{space 3}log likelihood = {res:-89.413879}  
Iteration 7:{space 3}log likelihood = {res:-89.413835}  
Iteration 8:{space 3}log likelihood = {res:-89.413835}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     35.89
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-89.413835{txt}{col 49}Pseudo R2{col 67}= {res}    0.1671

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}courtNetConf {c |}{col 27}{res}{space 2} 6.304212{col 39}{space 2} 2.435383{col 50}{space 1}    2.59{col 59}{space 3}0.010{col 67}{space 4} 1.530948{col 80}{space 3} 11.07748
{txt}{space 14}congNetConf {c |}{col 27}{res}{space 2}-3.897942{col 39}{space 2} 1.213743{col 50}{space 1}   -3.21{col 59}{space 3}0.001{col 67}{space 4}-6.276834{col 80}{space 3} -1.51905
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 29.77746{col 39}{space 2} 11.67871{col 50}{space 1}    2.55{col 59}{space 3}0.011{col 67}{space 4} 6.887619{col 80}{space 3} 52.66731
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.5725994{col 39}{space 2} .5060828{col 50}{space 1}   -1.13{col 59}{space 3}0.258{col 67}{space 4}-1.564503{col 80}{space 3} .4193047
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .5355518{col 39}{space 2}  .090558{col 50}{space 1}    5.91{col 59}{space 3}0.000{col 67}{space 4} .3580614{col 80}{space 3} .7130421
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-2.518805{col 39}{space 2} .7998652{col 50}{space 1}   -3.15{col 59}{space 3}0.002{col 67}{space 4}-4.086512{col 80}{space 3}-.9510983
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.648475{col 39}{space 2} .7721271{col 67}{space 4}-4.161817{col 80}{space 3}-1.135134
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2}  .070759{col 39}{space 2}  .054635{col 67}{space 4} .0155792{col 80}{space 3} .3213791
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2.89{col 56}{txt}Prob >= chibar2 = {res}0.045
{txt}
{com}. 
. 
. *Table 4 -- Add Unified Congress
. *Table 4 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds unifiedCongress

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-98.363851}  
Iteration 1:{space 3}log likelihood = {res: -98.36257}  
Iteration 2:{space 3}log likelihood = {res: -98.36257}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-103.52629}  
Iteration 1:{space 3}log likelihood = {res:-100.54993}  
Iteration 2:{space 3}log likelihood = {res:-98.822483}  (not concave)
Iteration 3:{space 3}log likelihood = {res: -98.19227}  
Iteration 4:{space 3}log likelihood = {res:-96.883589}  
Iteration 5:{space 3}log likelihood = {res:-96.619714}  
Iteration 6:{space 3}log likelihood = {res:-96.589474}  
Iteration 7:{space 3}log likelihood = {res:-96.589441}  
Iteration 8:{space 3}log likelihood = {res:-96.589441}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     36.05
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-96.589441{txt}{col 49}Pseudo R2{col 67}= {res}    0.1573

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  jurstriptotal{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}conjudge {c |}{col 17}{res}{space 2} 9.309075{col 29}{space 2} 3.327455{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} 2.787382{col 70}{space 3} 15.83077
{txt}{space 7}conlegis {c |}{col 17}{res}{space 2}-9.723833{col 29}{space 2} 3.425334{col 40}{space 1}   -2.84{col 49}{space 3}0.005{col 57}{space 4}-16.43737{col 70}{space 3}-3.010301
{txt}totalplHundreds {c |}{col 17}{res}{space 2} .5636165{col 29}{space 2} .0834882{col 40}{space 1}    6.75{col 49}{space 3}0.000{col 57}{space 4} .3999826{col 70}{space 3} .7272504
{txt}unifiedCongress {c |}{col 17}{res}{space 2}-.4458474{col 29}{space 2} .1781888{col 40}{space 1}   -2.50{col 49}{space 3}0.012{col 57}{space 4}-.7950909{col 70}{space 3}-.0966038
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.364122{col 29}{space 2} .8789087{col 40}{space 1}   -1.55{col 49}{space 3}0.121{col 57}{space 4}-3.086751{col 70}{space 3} .3585076
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/lnalpha {c |}{col 17}{res}{space 2}-2.571118{col 29}{space 2} .7175482{col 57}{space 4}-3.977487{col 70}{space 3}-1.164749
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          alpha {c |}{col 17}{res}{space 2}   .07645{col 29}{space 2} .0548566{col 57}{space 4} .0187327{col 70}{space 3} .3120008
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}3.55{col 56}{txt}Prob >= chibar2 = {res}0.030
{txt}
{com}. *Table 4 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands baileyDist_Midpoint totalplHundreds unifiedCongress

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-92.175326}  
Iteration 1:{space 3}log likelihood = {res:-92.064991}  
Iteration 2:{space 3}log likelihood = {res:-92.064889}  
Iteration 3:{space 3}log likelihood = {res:-92.064889}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.101424}  
Iteration 1:{space 3}log likelihood = {res:-94.644615}  
Iteration 2:{space 3}log likelihood = {res:-90.912992}  
Iteration 3:{space 3}log likelihood = {res:-90.640119}  
Iteration 4:{space 3}log likelihood = {res:-90.575507}  
Iteration 5:{space 3}log likelihood = {res:-90.575332}  
Iteration 6:{space 3}log likelihood = {res:-90.575332}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     33.57
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-90.575332{txt}{col 49}Pseudo R2{col 67}= {res}    0.1563

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      jurstriptotal{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}conjudge {c |}{col 21}{res}{space 2} 9.850516{col 33}{space 2} 4.082179{col 44}{space 1}    2.41{col 53}{space 3}0.016{col 61}{space 4} 1.849593{col 74}{space 3} 17.85144
{txt}{space 11}conlegis {c |}{col 21}{res}{space 2}-10.03684{col 33}{space 2} 3.856469{col 44}{space 1}   -2.60{col 53}{space 3}0.009{col 61}{space 4}-17.59538{col 74}{space 3}-2.478304
{txt}{space 19} {c |}
{space 2}workloadThousands {c |}
{space 16}D1. {c |}{col 21}{res}{space 2} .0067373{col 33}{space 2} .0204916{col 44}{space 1}    0.33{col 53}{space 3}0.742{col 61}{space 4}-.0334254{col 74}{space 3} .0469001
{txt}{space 19} {c |}
baileyDist_Midpoint {c |}{col 21}{res}{space 2}-.2165332{col 33}{space 2} .4960852{col 44}{space 1}   -0.44{col 53}{space 3}0.662{col 61}{space 4}-1.188842{col 74}{space 3} .7557759
{txt}{space 4}totalplHundreds {c |}{col 21}{res}{space 2}  .537959{col 33}{space 2} .0876253{col 44}{space 1}    6.14{col 53}{space 3}0.000{col 61}{space 4} .3662166{col 74}{space 3} .7097015
{txt}{space 4}unifiedCongress {c |}{col 21}{res}{space 2} -.417681{col 33}{space 2} .2165572{col 44}{space 1}   -1.93{col 53}{space 3}0.054{col 61}{space 4}-.8421254{col 74}{space 3} .0067634
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-1.365223{col 33}{space 2} 1.063038{col 44}{space 1}   -1.28{col 53}{space 3}0.199{col 61}{space 4}-3.448738{col 74}{space 3} .7182932
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/lnalpha {c |}{col 21}{res}{space 2}-2.567079{col 33}{space 2} .7602151{col 61}{space 4}-4.057074{col 74}{space 3}-1.077085
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .0767594{col 33}{space 2} .0583537{col 61}{space 4} .0172996{col 74}{space 3} .3405868
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2.98{col 56}{txt}Prob >= chibar2 = {res}0.042
{txt}
{com}. *Table 4 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds unifiedCongress

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-91.277141}  
Iteration 1:{space 3}log likelihood = {res:-91.242216}  
Iteration 2:{space 3}log likelihood = {res:-91.242209}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.841336}  
Iteration 1:{space 3}log likelihood = {res:-93.565409}  
Iteration 2:{space 3}log likelihood = {res:-92.293991}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-91.765417}  
Iteration 4:{space 3}log likelihood = {res: -90.97383}  (not concave)
Iteration 5:{space 3}log likelihood = {res: -90.38054}  
Iteration 6:{space 3}log likelihood = {res:-90.030094}  
Iteration 7:{space 3}log likelihood = {res:-90.026547}  
Iteration 8:{space 3}log likelihood = {res:-90.026542}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     34.66
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-90.026542{txt}{col 49}Pseudo R2{col 67}= {res}    0.1614

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2}  9.27544{col 39}{space 2} 3.874079{col 50}{space 1}    2.39{col 59}{space 3}0.017{col 67}{space 4} 1.682385{col 80}{space 3} 16.86849
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-10.20744{col 39}{space 2} 3.565943{col 50}{space 1}   -2.86{col 59}{space 3}0.004{col 67}{space 4}-17.19656{col 80}{space 3}-3.218323
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 15.13241{col 39}{space 2} 13.59073{col 50}{space 1}    1.11{col 59}{space 3}0.266{col 67}{space 4}-11.50493{col 80}{space 3} 41.76976
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.1296515{col 39}{space 2} .4892449{col 50}{space 1}   -0.27{col 59}{space 3}0.791{col 67}{space 4}-1.088554{col 80}{space 3} .8292508
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .5107628{col 39}{space 2} .0885511{col 50}{space 1}    5.77{col 59}{space 3}0.000{col 67}{space 4} .3372059{col 80}{space 3} .6843197
{txt}{space 10}unifiedCongress {c |}{col 27}{res}{space 2}-.2905029{col 39}{space 2} .2452614{col 50}{space 1}   -1.18{col 59}{space 3}0.236{col 67}{space 4}-.7712063{col 80}{space 3} .1902006
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.782171{col 39}{space 2}    1.062{col 50}{space 1}   -1.68{col 59}{space 3}0.093{col 67}{space 4}-3.863652{col 80}{space 3} .2993098
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.682831{col 39}{space 2}  .824107{col 67}{space 4}-4.298052{col 80}{space 3}-1.067611
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0683693{col 39}{space 2} .0563436{col 67}{space 4}  .013595{col 80}{space 3} .3438288
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2.43{col 56}{txt}Prob >= chibar2 = {res}0.059
{txt}
{com}. 
. 
. *Table 5 -- Add Unified Government
. *Table 5 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds unifiedGov

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-103.35323}  
Iteration 1:{space 3}log likelihood = {res:-103.35277}  
Iteration 2:{space 3}log likelihood = {res:-103.35277}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-103.97946}  
Iteration 1:{space 3}log likelihood = {res:-100.11739}  
Iteration 2:{space 3}log likelihood = {res:-98.588324}  
Iteration 3:{space 3}log likelihood = {res:-98.508427}  
Iteration 4:{space 3}log likelihood = {res:-98.507713}  
Iteration 5:{space 3}log likelihood = {res:-98.507713}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     32.21
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-98.507713{txt}{col 49}Pseudo R2{col 67}= {res}    0.1405

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  jurstriptotal{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}conjudge {c |}{col 17}{res}{space 2} 7.226143{col 29}{space 2} 3.614861{col 40}{space 1}    2.00{col 49}{space 3}0.046{col 57}{space 4} .1411459{col 70}{space 3} 14.31114
{txt}{space 7}conlegis {c |}{col 17}{res}{space 2}-8.886338{col 29}{space 2} 3.526382{col 40}{space 1}   -2.52{col 49}{space 3}0.012{col 57}{space 4}-15.79792{col 70}{space 3}-1.974757
{txt}totalplHundreds {c |}{col 17}{res}{space 2} .5483844{col 29}{space 2} .0892477{col 40}{space 1}    6.14{col 49}{space 3}0.000{col 57}{space 4} .3734621{col 70}{space 3} .7233067
{txt}{space 5}unifiedGov {c |}{col 17}{res}{space 2}-.2649334{col 29}{space 2}  .206656{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4}-.6699718{col 70}{space 3}  .140105
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.9812183{col 29}{space 2} .9950062{col 40}{space 1}   -0.99{col 49}{space 3}0.324{col 57}{space 4}-2.931395{col 70}{space 3} .9689581
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/lnalpha {c |}{col 17}{res}{space 2} -2.15099{col 29}{space 2} .5151268{col 57}{space 4} -3.16062{col 70}{space 3} -1.14136
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          alpha {c |}{col 17}{res}{space 2} .1163689{col 29}{space 2} .0599447{col 57}{space 4} .0423994{col 70}{space 3} .3193843
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}9.69{col 56}{txt}Prob >= chibar2 = {res}0.001
{txt}
{com}. *Table 5 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands baileyDist_Midpoint totalplHundreds unifiedGov

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-94.611252}  
Iteration 1:{space 3}log likelihood = {res: -94.56462}  
Iteration 2:{space 3}log likelihood = {res:-94.564604}  
Iteration 3:{space 3}log likelihood = {res:-94.564604}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.434672}  
Iteration 1:{space 3}log likelihood = {res:-94.522665}  
Iteration 2:{space 3}log likelihood = {res:-92.274517}  
Iteration 3:{space 3}log likelihood = {res:-91.943555}  
Iteration 4:{space 3}log likelihood = {res:-91.715363}  
Iteration 5:{space 3}log likelihood = {res:-91.712469}  
Iteration 6:{space 3}log likelihood = {res:-91.712469}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     31.29
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-91.712469{txt}{col 49}Pseudo R2{col 67}= {res}    0.1457

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      jurstriptotal{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}conjudge {c |}{col 21}{res}{space 2} 8.736531{col 33}{space 2} 4.366978{col 44}{space 1}    2.00{col 53}{space 3}0.045{col 61}{space 4} .1774108{col 74}{space 3} 17.29565
{txt}{space 11}conlegis {c |}{col 21}{res}{space 2}-8.829584{col 33}{space 2} 3.776075{col 44}{space 1}   -2.34{col 53}{space 3}0.019{col 61}{space 4}-16.23056{col 74}{space 3}-1.428613
{txt}{space 19} {c |}
{space 2}workloadThousands {c |}
{space 16}D1. {c |}{col 21}{res}{space 2} .0155546{col 33}{space 2} .0206117{col 44}{space 1}    0.75{col 53}{space 3}0.450{col 61}{space 4}-.0248435{col 74}{space 3} .0559528
{txt}{space 19} {c |}
baileyDist_Midpoint {c |}{col 21}{res}{space 2}-.4984038{col 33}{space 2} .4989488{col 44}{space 1}   -1.00{col 53}{space 3}0.318{col 61}{space 4}-1.476326{col 74}{space 3} .4795179
{txt}{space 4}totalplHundreds {c |}{col 21}{res}{space 2} .5152747{col 33}{space 2} .0902274{col 44}{space 1}    5.71{col 53}{space 3}0.000{col 61}{space 4} .3384323{col 74}{space 3} .6921171
{txt}{space 9}unifiedGov {c |}{col 21}{res}{space 2}-.2251058{col 33}{space 2} .2118735{col 44}{space 1}   -1.06{col 53}{space 3}0.288{col 61}{space 4}-.6403702{col 74}{space 3} .1901586
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-1.235486{col 33}{space 2} 1.184063{col 44}{space 1}   -1.04{col 53}{space 3}0.297{col 61}{space 4}-3.556207{col 74}{space 3} 1.085235
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/lnalpha {c |}{col 21}{res}{space 2}-2.283269{col 33}{space 2}  .605909{col 61}{space 4}-3.470829{col 74}{space 3}-1.095709
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .1019504{col 33}{space 2} .0617727{col 61}{space 4} .0310913{col 74}{space 3} .3343024
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}5.70{col 56}{txt}Prob >= chibar2 = {res}0.008
{txt}
{com}. *Table 5 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds unifiedGov

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-91.128202}  
Iteration 1:{space 3}log likelihood = {res:-91.073384}  
Iteration 2:{space 3}log likelihood = {res:-91.073364}  
Iteration 3:{space 3}log likelihood = {res:-91.073364}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.749226}  
Iteration 1:{space 3}log likelihood = {res:-93.162467}  
Iteration 2:{space 3}log likelihood = {res:-91.349364}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-90.873113}  
Iteration 4:{space 3}log likelihood = {res:-89.953729}  
Iteration 5:{space 3}log likelihood = {res: -89.84893}  
Iteration 6:{space 3}log likelihood = {res:-89.842495}  
Iteration 7:{space 3}log likelihood = {res:-89.842474}  
Iteration 8:{space 3}log likelihood = {res:-89.842474}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     35.03
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-89.842474{txt}{col 49}Pseudo R2{col 67}= {res}    0.1632

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 7.325997{col 39}{space 2} 4.064099{col 50}{space 1}    1.80{col 59}{space 3}0.071{col 67}{space 4}-.6394911{col 80}{space 3} 15.29149
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-9.610634{col 39}{space 2} 3.491788{col 50}{space 1}   -2.75{col 59}{space 3}0.006{col 67}{space 4}-16.45441{col 80}{space 3}-2.766855
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 24.81583{col 39}{space 2} 11.19898{col 50}{space 1}    2.22{col 59}{space 3}0.027{col 67}{space 4} 2.866229{col 80}{space 3} 46.76544
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.1966454{col 39}{space 2} .4869713{col 50}{space 1}   -0.40{col 59}{space 3}0.686{col 67}{space 4}-1.151092{col 80}{space 3} .7578008
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .4810642{col 39}{space 2} .0847843{col 50}{space 1}    5.67{col 59}{space 3}0.000{col 67}{space 4} .3148899{col 80}{space 3} .6472384
{txt}{space 15}unifiedGov {c |}{col 27}{res}{space 2}-.2636425{col 39}{space 2} .1993194{col 50}{space 1}   -1.32{col 59}{space 3}0.186{col 67}{space 4}-.6543014{col 80}{space 3} .1270163
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.619728{col 39}{space 2} 1.092785{col 50}{space 1}   -1.48{col 59}{space 3}0.138{col 67}{space 4}-3.761547{col 80}{space 3} .5220917
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.698322{col 39}{space 2} .8239184{col 67}{space 4}-4.313173{col 80}{space 3}-1.083472
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0673184{col 39}{space 2} .0554648{col 67}{space 4}  .013391{col 80}{space 3} .3384185
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2.46{col 56}{txt}Prob >= chibar2 = {res}0.058
{txt}
{com}. 
. 
. *Table 6 -- JCS Supreme Court-Congress Ideological Distance
. *Table 6 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.99746}  
Iteration 1:{space 3}log likelihood = {res:-104.99726}  
Iteration 2:{space 3}log likelihood = {res:-104.99726}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.20771}  
Iteration 1:{space 3}log likelihood = {res:-100.39648}  
Iteration 2:{space 3}log likelihood = {res:-99.352585}  
Iteration 3:{space 3}log likelihood = {res:-99.319281}  
Iteration 4:{space 3}log likelihood = {res:-99.319187}  
Iteration 5:{space 3}log likelihood = {res:-99.319187}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     30.59
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-99.319187{txt}{col 49}Pseudo R2{col 67}= {res}    0.1334

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  jurstriptotal{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}conjudge {c |}{col 17}{res}{space 2} 8.366895{col 29}{space 2} 3.607402{col 40}{space 1}    2.32{col 49}{space 3}0.020{col 57}{space 4} 1.296516{col 70}{space 3} 15.43727
{txt}{space 7}conlegis {c |}{col 17}{res}{space 2} -9.10808{col 29}{space 2}  3.59836{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4}-16.16074{col 70}{space 3}-2.055424
{txt}totalplHundreds {c |}{col 17}{res}{space 2} .5452601{col 29}{space 2} .0910789{col 40}{space 1}    5.99{col 49}{space 3}0.000{col 57}{space 4} .3667488{col 70}{space 3} .7237715
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.387936{col 29}{space 2} .9730507{col 40}{space 1}   -1.43{col 49}{space 3}0.154{col 57}{space 4} -3.29508{col 70}{space 3} .5192086
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/lnalpha {c |}{col 17}{res}{space 2}-2.049003{col 29}{space 2} .4876019{col 57}{space 4}-3.004685{col 70}{space 3}-1.093321
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          alpha {c |}{col 17}{res}{space 2} .1288633{col 29}{space 2}  .062834{col 57}{space 4} .0495543{col 70}{space 3} .3351017
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}11.36{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. *Table 6 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands congCourtDist_JCS totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-99.693695}  
Iteration 1:{space 3}log likelihood = {res:-99.647958}  
Iteration 2:{space 3}log likelihood = {res:-99.647942}  
Iteration 3:{space 3}log likelihood = {res:-99.647942}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-103.63955}  
Iteration 1:{space 3}log likelihood = {res:-100.89827}  
Iteration 2:{space 3}log likelihood = {res:-98.329607}  
Iteration 3:{space 3}log likelihood = {res:-97.670394}  
Iteration 4:{space 3}log likelihood = {res:-97.117939}  
Iteration 5:{space 3}log likelihood = {res: -97.09678}  
Iteration 6:{space 3}log likelihood = {res:-97.096734}  
Iteration 7:{space 3}log likelihood = {res:-97.096734}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     35.03
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-97.096734{txt}{col 49}Pseudo R2{col 67}= {res}    0.1528

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    jurstriptotal{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}conjudge {c |}{col 19}{res}{space 2} 8.183685{col 31}{space 2} 3.595796{col 42}{space 1}    2.28{col 51}{space 3}0.023{col 59}{space 4} 1.136054{col 72}{space 3} 15.23132
{txt}{space 9}conlegis {c |}{col 19}{res}{space 2}-7.179668{col 31}{space 2} 3.603834{col 42}{space 1}   -1.99{col 51}{space 3}0.046{col 59}{space 4}-14.24305{col 72}{space 3}-.1162824
{txt}{space 17} {c |}
workloadThousands {c |}
{space 14}D1. {c |}{col 19}{res}{space 2}  .024788{col 31}{space 2} .0195652{col 42}{space 1}    1.27{col 51}{space 3}0.205{col 59}{space 4}-.0135591{col 72}{space 3} .0631352
{txt}{space 17} {c |}
congCourtDist_JCS {c |}{col 19}{res}{space 2} -1.05732{col 31}{space 2} .5735003{col 42}{space 1}   -1.84{col 51}{space 3}0.065{col 59}{space 4} -2.18136{col 72}{space 3} .0667203
{txt}{space 2}totalplHundreds {c |}{col 19}{res}{space 2} .5628235{col 31}{space 2} .0907903{col 42}{space 1}    6.20{col 51}{space 3}0.000{col 59}{space 4} .3848779{col 72}{space 3} .7407692
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.294863{col 31}{space 2} .9538527{col 42}{space 1}   -1.36{col 51}{space 3}0.175{col 59}{space 4}-3.164379{col 72}{space 3} .5746544
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}-2.374451{col 31}{space 2} .6186059{col 59}{space 4}-3.586897{col 72}{space 3}-1.162006
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} .0930655{col 31}{space 2} .0575709{col 59}{space 4} .0276841{col 72}{space 3} .3128579
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}5.10{col 56}{txt}Prob >= chibar2 = {res}0.012
{txt}
{com}. *Table 6 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District congCourtDist_JCS totalplHundreds

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.943636}  
Iteration 1:{space 3}log likelihood = {res:-96.906118}  
Iteration 2:{space 3}log likelihood = {res: -96.90611}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-102.92943}  
Iteration 1:{space 3}log likelihood = {res: -99.23598}  
Iteration 2:{space 3}log likelihood = {res:-97.496357}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-96.801953}  
Iteration 4:{space 3}log likelihood = {res:-95.663668}  
Iteration 5:{space 3}log likelihood = {res:-95.422298}  
Iteration 6:{space 3}log likelihood = {res:-95.421066}  
Iteration 7:{space 3}log likelihood = {res:-95.421066}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     38.39
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-95.421066{txt}{col 49}Pseudo R2{col 67}= {res}    0.1675

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 8.467111{col 39}{space 2} 3.366117{col 50}{space 1}    2.52{col 59}{space 3}0.012{col 67}{space 4} 1.869643{col 80}{space 3} 15.06458
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-9.015482{col 39}{space 2} 3.446495{col 50}{space 1}   -2.62{col 59}{space 3}0.009{col 67}{space 4}-15.77049{col 80}{space 3}-2.260477
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 24.71213{col 39}{space 2} 10.38972{col 50}{space 1}    2.38{col 59}{space 3}0.017{col 67}{space 4} 4.348652{col 80}{space 3} 45.07561
{txt}{space 8}congCourtDist_JCS {c |}{col 27}{res}{space 2}-.8786233{col 39}{space 2} .5484143{col 50}{space 1}   -1.60{col 59}{space 3}0.109{col 67}{space 4}-1.953496{col 80}{space 3} .1962491
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .5310649{col 39}{space 2} .0878175{col 50}{space 1}    6.05{col 59}{space 3}0.000{col 67}{space 4} .3589458{col 80}{space 3}  .703184
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-2.059949{col 39}{space 2} .9166659{col 50}{space 1}   -2.25{col 59}{space 3}0.025{col 67}{space 4}-3.856581{col 80}{space 3}-.2633173
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.688472{col 39}{space 2} .7620532{col 67}{space 4}-4.182069{col 80}{space 3}-1.194875
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0679847{col 39}{space 2}  .051808{col 67}{space 4} .0152669{col 80}{space 3} .3027418
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2.97{col 56}{txt}Prob >= chibar2 = {res}0.042
{txt}
{com}. 
. 
. *Table 7 -- Workload Predictors Using All Civil Cases Involving the U.S. Government
. *Table 7 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.99746}  
Iteration 1:{space 3}log likelihood = {res:-104.99726}  
Iteration 2:{space 3}log likelihood = {res:-104.99726}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.20771}  
Iteration 1:{space 3}log likelihood = {res:-100.39648}  
Iteration 2:{space 3}log likelihood = {res:-99.352585}  
Iteration 3:{space 3}log likelihood = {res:-99.319281}  
Iteration 4:{space 3}log likelihood = {res:-99.319187}  
Iteration 5:{space 3}log likelihood = {res:-99.319187}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     30.59
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-99.319187{txt}{col 49}Pseudo R2{col 67}= {res}    0.1334

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  jurstriptotal{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}conjudge {c |}{col 17}{res}{space 2} 8.366895{col 29}{space 2} 3.607402{col 40}{space 1}    2.32{col 49}{space 3}0.020{col 57}{space 4} 1.296516{col 70}{space 3} 15.43727
{txt}{space 7}conlegis {c |}{col 17}{res}{space 2} -9.10808{col 29}{space 2}  3.59836{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4}-16.16074{col 70}{space 3}-2.055424
{txt}totalplHundreds {c |}{col 17}{res}{space 2} .5452601{col 29}{space 2} .0910789{col 40}{space 1}    5.99{col 49}{space 3}0.000{col 57}{space 4} .3667488{col 70}{space 3} .7237715
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.387936{col 29}{space 2} .9730507{col 40}{space 1}   -1.43{col 49}{space 3}0.154{col 57}{space 4} -3.29508{col 70}{space 3} .5192086
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/lnalpha {c |}{col 17}{res}{space 2}-2.049003{col 29}{space 2} .4876019{col 57}{space 4}-3.004685{col 70}{space 3}-1.093321
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          alpha {c |}{col 17}{res}{space 2} .1288633{col 29}{space 2}  .062834{col 57}{space 4} .0495543{col 70}{space 3} .3351017
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}11.36{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. *Table 7 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands_allCivil baileyDist_Midpoint totalplHundreds 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.707517}  
Iteration 1:{space 3}log likelihood = {res:-96.704736}  
Iteration 2:{space 3}log likelihood = {res:-96.704736}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.565577}  
Iteration 1:{space 3}log likelihood = {res:-94.270386}  
Iteration 2:{space 3}log likelihood = {res:-92.621671}  
Iteration 3:{space 3}log likelihood = {res:-92.488273}  
Iteration 4:{space 3}log likelihood = {res:-92.484755}  
Iteration 5:{space 3}log likelihood = {res:-92.484754}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     29.75
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-92.484754{txt}{col 49}Pseudo R2{col 67}= {res}    0.1385

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             jurstriptotal{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}conjudge {c |}{col 28}{res}{space 2} 11.62769{col 40}{space 2} 4.175092{col 51}{space 1}    2.79{col 60}{space 3}0.005{col 68}{space 4} 3.444659{col 81}{space 3} 19.81072
{txt}{space 18}conlegis {c |}{col 28}{res}{space 2}-9.761854{col 40}{space 2} 3.711887{col 51}{space 1}   -2.63{col 60}{space 3}0.009{col 68}{space 4}-17.03702{col 81}{space 3} -2.48669
{txt}{space 26} {c |}
workloadThousands_allCivil {c |}
{space 23}D1. {c |}{col 28}{res}{space 2} .0042136{col 40}{space 2} .0094986{col 51}{space 1}    0.44{col 60}{space 3}0.657{col 68}{space 4}-.0144033{col 81}{space 3} .0228306
{txt}{space 26} {c |}
{space 7}baileyDist_Midpoint {c |}{col 28}{res}{space 2}-.5758474{col 40}{space 2} .5009967{col 51}{space 1}   -1.15{col 60}{space 3}0.250{col 68}{space 4}-1.557783{col 81}{space 3} .4060882
{txt}{space 11}totalplHundreds {c |}{col 28}{res}{space 2} .5170011{col 40}{space 2}  .096899{col 51}{space 1}    5.34{col 60}{space 3}0.000{col 68}{space 4} .3270826{col 81}{space 3} .7069196
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-2.102377{col 40}{space 2} 1.127548{col 51}{space 1}   -1.86{col 60}{space 3}0.062{col 68}{space 4}-4.312329{col 81}{space 3}  .107576
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2}-2.121295{col 40}{space 2}  .535709{col 68}{space 4}-3.171265{col 81}{space 3}-1.071324
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} .1198763{col 40}{space 2} .0642188{col 68}{space 4} .0419505{col 81}{space 3} .3425546
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}8.44{col 56}{txt}Prob >= chibar2 = {res}0.002
{txt}
{com}. *Table 7 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudgeAll_District baileyDist_Midpoint totalplHundreds 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-92.969437}  
Iteration 1:{space 3}log likelihood = {res:-92.966451}  
Iteration 2:{space 3}log likelihood = {res:-92.966451}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.392737}  
Iteration 1:{space 3}log likelihood = {res:-95.175041}  
Iteration 2:{space 3}log likelihood = {res:-94.786163}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-93.526066}  
Iteration 4:{space 3}log likelihood = {res:-93.303662}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-92.187991}  
Iteration 6:{space 3}log likelihood = {res:-91.285834}  
Iteration 7:{space 3}log likelihood = {res:-91.222751}  
Iteration 8:{space 3}log likelihood = {res:-91.221068}  
Iteration 9:{space 3}log likelihood = {res:-91.221067}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     32.28
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-91.221067{txt}{col 49}Pseudo R2{col 67}= {res}    0.1503

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               jurstriptotal{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}conjudge {c |}{col 30}{res}{space 2} 11.35262{col 42}{space 2} 3.872386{col 53}{space 1}    2.93{col 62}{space 3}0.003{col 70}{space 4} 3.762879{col 83}{space 3} 18.94235
{txt}{space 20}conlegis {c |}{col 30}{res}{space 2}-11.40755{col 42}{space 2} 3.730233{col 53}{space 1}   -3.06{col 62}{space 3}0.002{col 70}{space 4}-18.71867{col 83}{space 3}-4.096426
{txt}workloadPerJudgeAll_District {c |}{col 30}{res}{space 2} 5.505405{col 42}{space 2} 3.142606{col 53}{space 1}    1.75{col 62}{space 3}0.080{col 70}{space 4}-.6539901{col 83}{space 3}  11.6648
{txt}{space 9}baileyDist_Midpoint {c |}{col 30}{res}{space 2}-.4158074{col 42}{space 2} .4761047{col 53}{space 1}   -0.87{col 62}{space 3}0.382{col 70}{space 4}-1.348955{col 83}{space 3} .5173406
{txt}{space 13}totalplHundreds {c |}{col 30}{res}{space 2} .4670318{col 42}{space 2} .0920363{col 53}{space 1}    5.07{col 62}{space 3}0.000{col 70}{space 4} .2866439{col 83}{space 3} .6474197
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-2.132695{col 42}{space 2} 1.030375{col 53}{space 1}   -2.07{col 62}{space 3}0.038{col 70}{space 4}-4.152194{col 83}{space 3}-.1131974
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}/lnalpha {c |}{col 30}{res}{space 2}-2.472203{col 42}{space 2} .7176352{col 70}{space 4}-3.878742{col 83}{space 3}-1.065664
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       alpha {c |}{col 30}{res}{space 2} .0843987{col 42}{space 2} .0605675{col 70}{space 4} .0206768{col 83}{space 3} .3444991
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}3.49{col 56}{txt}Prob >= chibar2 = {res}0.031
{txt}
{com}. *Table 7 -- Model 4
. nbreg jurstriptotal conjudge conlegis d.workloadPerJudgeAll_District baileyDist_Midpoint totalplHundreds 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.659007}  
Iteration 1:{space 3}log likelihood = {res:-96.656162}  
Iteration 2:{space 3}log likelihood = {res:-96.656162}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.534962}  
Iteration 1:{space 3}log likelihood = {res:-94.167305}  
Iteration 2:{space 3}log likelihood = {res:-92.578129}  
Iteration 3:{space 3}log likelihood = {res:-92.455629}  
Iteration 4:{space 3}log likelihood = {res:-92.452854}  
Iteration 5:{space 3}log likelihood = {res:-92.452853}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     29.81
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-92.452853{txt}{col 49}Pseudo R2{col 67}= {res}    0.1388

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               jurstriptotal{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}conjudge {c |}{col 30}{res}{space 2} 11.64343{col 42}{space 2} 4.157361{col 53}{space 1}    2.80{col 62}{space 3}0.005{col 70}{space 4} 3.495153{col 83}{space 3} 19.79171
{txt}{space 20}conlegis {c |}{col 30}{res}{space 2}-9.746808{col 42}{space 2} 3.705246{col 53}{space 1}   -2.63{col 62}{space 3}0.009{col 70}{space 4}-17.00896{col 83}{space 3}-2.484659
{txt}{space 28} {c |}
workloadPerJudgeAll_District {c |}
{space 25}D1. {c |}{col 30}{res}{space 2} 3.632245{col 42}{space 2} 7.113333{col 53}{space 1}    0.51{col 62}{space 3}0.610{col 70}{space 4}-10.30963{col 83}{space 3} 17.57412
{txt}{space 28} {c |}
{space 9}baileyDist_Midpoint {c |}{col 30}{res}{space 2}-.5725004{col 42}{space 2} .4985613{col 53}{space 1}   -1.15{col 62}{space 3}0.251{col 70}{space 4}-1.549663{col 83}{space 3} .4046617
{txt}{space 13}totalplHundreds {c |}{col 30}{res}{space 2} .5155964{col 42}{space 2} .0962195{col 53}{space 1}    5.36{col 62}{space 3}0.000{col 70}{space 4} .3270096{col 83}{space 3} .7041832
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-2.104149{col 42}{space 2} 1.120085{col 53}{space 1}   -1.88{col 62}{space 3}0.060{col 70}{space 4}-4.299475{col 83}{space 3} .0911767
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}/lnalpha {c |}{col 30}{res}{space 2}-2.125293{col 42}{space 2} .5367775{col 70}{space 4}-3.177357{col 83}{space 3}-1.073228
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       alpha {c |}{col 30}{res}{space 2}  .119398{col 42}{space 2} .0640902{col 70}{space 4} .0416957{col 83}{space 3}  .341903
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}8.41{col 56}{txt}Prob >= chibar2 = {res}0.002
{txt}
{com}. 
. 
. *Table 8 -- Add Congress-Median Circuit Court Ideological Distance
. *Table 8 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds congCircuitsDist_JCS

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-102.59739}  
Iteration 1:{space 3}log likelihood = {res:-102.59693}  
Iteration 2:{space 3}log likelihood = {res:-102.59693}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-103.96071}  
Iteration 1:{space 3}log likelihood = {res:-100.10985}  
Iteration 2:{space 3}log likelihood = {res:-98.522032}  
Iteration 3:{space 3}log likelihood = {res:-98.407443}  
Iteration 4:{space 3}log likelihood = {res:-98.405607}  
Iteration 5:{space 3}log likelihood = {res:-98.405606}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     32.42
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-98.405606{txt}{col 49}Pseudo R2{col 67}= {res}    0.1414

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       jurstriptotal{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}conjudge {c |}{col 22}{res}{space 2} 10.26697{col 34}{space 2} 3.789427{col 45}{space 1}    2.71{col 54}{space 3}0.007{col 62}{space 4} 2.839825{col 75}{space 3} 17.69411
{txt}{space 12}conlegis {c |}{col 22}{res}{space 2}-10.61722{col 34}{space 2} 3.685943{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-17.84154{col 75}{space 3}-3.392909
{txt}{space 5}totalplHundreds {c |}{col 22}{res}{space 2} .5341795{col 34}{space 2} .0882916{col 45}{space 1}    6.05{col 54}{space 3}0.000{col 62}{space 4} .3611312{col 75}{space 3} .7072279
{txt}congCircuitsDist_JCS {c |}{col 22}{res}{space 2}-1.010357{col 34}{space 2} .7353791{col 45}{space 1}   -1.37{col 54}{space 3}0.169{col 62}{space 4}-2.451673{col 75}{space 3} .4309599
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.599544{col 34}{space 2} .9619608{col 45}{space 1}   -1.66{col 54}{space 3}0.096{col 62}{space 4}-3.484953{col 75}{space 3} .2858642
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2}-2.198701{col 34}{space 2} .5381338{col 62}{space 4}-3.253424{col 75}{space 3}-1.143979
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2} .1109471{col 34}{space 2} .0597044{col 62}{space 4} .0386417{col 75}{space 3} .3185491
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}8.38{col 56}{txt}Prob >= chibar2 = {res}0.002
{txt}
{com}. *Table 8 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands baileyDist_Midpoint totalplHundreds congCircuitsDist_JCS

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-95.051809}  
Iteration 1:{space 3}log likelihood = {res:-95.001041}  
Iteration 2:{space 3}log likelihood = {res:-95.001022}  
Iteration 3:{space 3}log likelihood = {res:-95.001022}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.437641}  
Iteration 1:{space 3}log likelihood = {res:-94.351447}  
Iteration 2:{space 3}log likelihood = {res:-92.213273}  
Iteration 3:{space 3}log likelihood = {res:-91.920589}  
Iteration 4:{space 3}log likelihood = {res:-91.871252}  
Iteration 5:{space 3}log likelihood = {res:-91.870969}  
Iteration 6:{space 3}log likelihood = {res:-91.870969}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     30.98
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-91.870969{txt}{col 49}Pseudo R2{col 67}= {res}    0.1443

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       jurstriptotal{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}conjudge {c |}{col 22}{res}{space 2} 10.86786{col 34}{space 2} 4.385512{col 45}{space 1}    2.48{col 54}{space 3}0.013{col 62}{space 4} 2.272413{col 75}{space 3}  19.4633
{txt}{space 12}conlegis {c |}{col 22}{res}{space 2}-10.15707{col 34}{space 2} 4.091046{col 45}{space 1}   -2.48{col 54}{space 3}0.013{col 62}{space 4}-18.17538{col 75}{space 3}-2.138768
{txt}{space 20} {c |}
{space 3}workloadThousands {c |}
{space 17}D1. {c |}{col 22}{res}{space 2} .0130953{col 34}{space 2} .0213066{col 45}{space 1}    0.61{col 54}{space 3}0.539{col 62}{space 4}-.0286648{col 75}{space 3} .0548554
{txt}{space 20} {c |}
{space 1}baileyDist_Midpoint {c |}{col 22}{res}{space 2} .1056658{col 34}{space 2} .8539489{col 45}{space 1}    0.12{col 54}{space 3}0.902{col 62}{space 4}-1.568043{col 75}{space 3} 1.779375
{txt}{space 5}totalplHundreds {c |}{col 22}{res}{space 2} .5107212{col 34}{space 2}  .091345{col 45}{space 1}    5.59{col 54}{space 3}0.000{col 62}{space 4} .3316882{col 75}{space 3} .6897541
{txt}congCircuitsDist_JCS {c |}{col 22}{res}{space 2}-1.226693{col 34}{space 2} 1.369882{col 45}{space 1}   -0.90{col 54}{space 3}0.371{col 62}{space 4}-3.911613{col 75}{space 3} 1.458227
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.811534{col 34}{space 2} 1.126799{col 45}{space 1}   -1.61{col 54}{space 3}0.108{col 62}{space 4}-4.020019{col 75}{space 3} .3969514
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2}-2.230904{col 34}{space 2} .5838214{col 62}{space 4}-3.375173{col 75}{space 3}-1.086635
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2} .1074313{col 34}{space 2} .0627207{col 62}{space 4} .0342122{col 75}{space 3} .3373499
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}6.26{col 56}{txt}Prob >= chibar2 = {res}0.006
{txt}
{com}. *Table 8 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds congCircuitsDist_JCS

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-92.505079}  
Iteration 1:{space 3}log likelihood = {res:-92.476942}  
Iteration 2:{space 3}log likelihood = {res:-92.476938}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.914257}  
Iteration 1:{space 3}log likelihood = {res:-93.173329}  
Iteration 2:{space 3}log likelihood = {res:-91.189689}  
Iteration 3:{space 3}log likelihood = {res:-90.847971}  
Iteration 4:{space 3}log likelihood = {res: -90.61537}  
Iteration 5:{space 3}log likelihood = {res:-90.609637}  
Iteration 6:{space 3}log likelihood = {res:-90.609635}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     33.50
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-90.609635{txt}{col 49}Pseudo R2{col 67}= {res}    0.1560

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 9.471784{col 39}{space 2} 4.118625{col 50}{space 1}    2.30{col 59}{space 3}0.021{col 67}{space 4} 1.399428{col 80}{space 3} 17.54414
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-10.23802{col 39}{space 2} 3.790065{col 50}{space 1}   -2.70{col 59}{space 3}0.007{col 67}{space 4}-17.66641{col 80}{space 3}-2.809631
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 22.21727{col 39}{space 2} 12.48694{col 50}{space 1}    1.78{col 59}{space 3}0.075{col 67}{space 4}-2.256673{col 80}{space 3} 46.69122
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2} .0333811{col 39}{space 2} .8152326{col 50}{space 1}    0.04{col 59}{space 3}0.967{col 67}{space 4}-1.564445{col 80}{space 3} 1.631208
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .4840498{col 39}{space 2} .0875178{col 50}{space 1}    5.53{col 59}{space 3}0.000{col 67}{space 4} .3125181{col 80}{space 3} .6555815
{txt}{space 5}congCircuitsDist_JCS {c |}{col 27}{res}{space 2}-.5679737{col 39}{space 2} 1.364045{col 50}{space 1}   -0.42{col 59}{space 3}0.677{col 67}{space 4}-3.241452{col 80}{space 3} 2.105504
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-2.210343{col 39}{space 2} 1.038709{col 50}{space 1}   -2.13{col 59}{space 3}0.033{col 67}{space 4}-4.246174{col 80}{space 3} -.174511
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.496568{col 39}{space 2} .7050008{col 67}{space 4}-3.878344{col 80}{space 3}-1.114791
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0823672{col 39}{space 2}  .058069{col 67}{space 4} .0206851{col 80}{space 3} .3279837
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}3.73{col 56}{txt}Prob >= chibar2 = {res}0.027
{txt}
{com}. 
. 
. *Table 9 -- Add Congress-D.C. Circuit Ideological Distance
. *Table 9 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds congDCDist_JCS

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.80364}  
Iteration 1:{space 3}log likelihood = {res:-104.80345}  
Iteration 2:{space 3}log likelihood = {res:-104.80345}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.00363}  
Iteration 1:{space 3}log likelihood = {res:-114.61464}  
Iteration 2:{space 3}log likelihood = {res:-114.61374}  
Iteration 3:{space 3}log likelihood = {res:-114.61374}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-104.17388}  
Iteration 1:{space 3}log likelihood = {res:-100.33479}  
Iteration 2:{space 3}log likelihood = {res:-99.273323}  
Iteration 3:{space 3}log likelihood = {res:-99.237919}  
Iteration 4:{space 3}log likelihood = {res:-99.237811}  
Iteration 5:{space 3}log likelihood = {res:-99.237811}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        42
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     30.75
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-99.237811{txt}{col 49}Pseudo R2{col 67}= {res}    0.1342

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  jurstriptotal{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}conjudge {c |}{col 17}{res}{space 2} 8.742328{col 29}{space 2} 3.717984{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} 1.455214{col 70}{space 3} 16.02944
{txt}{space 7}conlegis {c |}{col 17}{res}{space 2}-9.334859{col 29}{space 2} 3.632673{col 40}{space 1}   -2.57{col 49}{space 3}0.010{col 57}{space 4}-16.45477{col 70}{space 3}-2.214951
{txt}totalplHundreds {c |}{col 17}{res}{space 2} .5438074{col 29}{space 2} .0908484{col 40}{space 1}    5.99{col 49}{space 3}0.000{col 57}{space 4} .3657478{col 70}{space 3}  .721867
{txt}{space 1}congDCDist_JCS {c |}{col 17}{res}{space 2}  -.15359{col 29}{space 2} .3801994{col 40}{space 1}   -0.40{col 49}{space 3}0.686{col 57}{space 4}-.8987671{col 70}{space 3} .5915872
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.407455{col 29}{space 2} .9712835{col 40}{space 1}   -1.45{col 49}{space 3}0.147{col 57}{space 4}-3.311136{col 70}{space 3} .4962258
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/lnalpha {c |}{col 17}{res}{space 2}-2.060644{col 29}{space 2} .4908579{col 57}{space 4}-3.022707{col 70}{space 3} -1.09858
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          alpha {c |}{col 17}{res}{space 2}  .127372{col 29}{space 2} .0625215{col 57}{space 4} .0486693{col 70}{space 3} .3333441
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}11.13{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. *Table 9 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands baileyDist_Midpoint totalplHundreds congDCDist_JCS

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-94.305229}  
Iteration 1:{space 3}log likelihood = {res:-94.230418}  
Iteration 2:{space 3}log likelihood = {res:-94.230375}  
Iteration 3:{space 3}log likelihood = {res:-94.230375}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.538852}  
Iteration 1:{space 3}log likelihood = {res:-94.850294}  
Iteration 2:{space 3}log likelihood = {res: -92.62904}  
Iteration 3:{space 3}log likelihood = {res:-92.031497}  
Iteration 4:{space 3}log likelihood = {res:-91.822139}  
Iteration 5:{space 3}log likelihood = {res:-91.819883}  
Iteration 6:{space 3}log likelihood = {res:-91.819883}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     31.08
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-91.819883{txt}{col 49}Pseudo R2{col 67}= {res}    0.1447

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      jurstriptotal{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}conjudge {c |}{col 21}{res}{space 2} 9.718093{col 33}{space 2} 4.234621{col 44}{space 1}    2.29{col 53}{space 3}0.022{col 61}{space 4} 1.418389{col 74}{space 3}  18.0178
{txt}{space 11}conlegis {c |}{col 21}{res}{space 2}-8.361918{col 33}{space 2} 3.833654{col 44}{space 1}   -2.18{col 53}{space 3}0.029{col 61}{space 4}-15.87574{col 74}{space 3}-.8480944
{txt}{space 19} {c |}
{space 2}workloadThousands {c |}
{space 16}D1. {c |}{col 21}{res}{space 2}  .022992{col 33}{space 2} .0213925{col 44}{space 1}    1.07{col 53}{space 3}0.282{col 61}{space 4}-.0189366{col 74}{space 3} .0649206
{txt}{space 19} {c |}
baileyDist_Midpoint {c |}{col 21}{res}{space 2}-.9485358{col 33}{space 2} .6671433{col 44}{space 1}   -1.42{col 53}{space 3}0.155{col 61}{space 4}-2.256113{col 74}{space 3} .3590411
{txt}{space 4}totalplHundreds {c |}{col 21}{res}{space 2} .5085249{col 33}{space 2} .0899924{col 44}{space 1}    5.65{col 53}{space 3}0.000{col 61}{space 4}  .332143{col 74}{space 3} .6849068
{txt}{space 5}congDCDist_JCS {c |}{col 21}{res}{space 2} .5253918{col 33}{space 2} .5456072{col 44}{space 1}    0.96{col 53}{space 3}0.336{col 61}{space 4}-.5439786{col 74}{space 3} 1.594762
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-1.747886{col 33}{space 2} 1.103786{col 44}{space 1}   -1.58{col 53}{space 3}0.113{col 61}{space 4}-3.911267{col 74}{space 3} .4154942
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/lnalpha {c |}{col 21}{res}{space 2}-2.308034{col 33}{space 2} .6341127{col 61}{space 4}-3.550872{col 74}{space 3}-1.065196
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} .0994566{col 33}{space 2} .0630667{col 61}{space 4} .0286996{col 74}{space 3} .3446603
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}4.82{col 56}{txt}Prob >= chibar2 = {res}0.014
{txt}
{com}. *Table 9 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds congDCDist_JCS

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-91.312934}  
Iteration 1:{space 3}log likelihood = {res:-91.280901}  
Iteration 2:{space 3}log likelihood = {res:-91.280896}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.851072}  
Iteration 1:{space 3}log likelihood = {res:-93.408144}  
Iteration 2:{space 3}log likelihood = {res:-91.782531}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-91.228689}  
Iteration 4:{space 3}log likelihood = {res:-90.272522}  
Iteration 5:{space 3}log likelihood = {res:-90.108677}  
Iteration 6:{space 3}log likelihood = {res:-90.088022}  
Iteration 7:{space 3}log likelihood = {res:-90.087988}  
Iteration 8:{space 3}log likelihood = {res:-90.087988}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     34.54
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-90.087988{txt}{col 49}Pseudo R2{col 67}= {res}    0.1609

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 9.047793{col 39}{space 2} 3.892229{col 50}{space 1}    2.32{col 59}{space 3}0.020{col 67}{space 4} 1.419165{col 80}{space 3} 16.67642
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-9.671703{col 39}{space 2} 3.549891{col 50}{space 1}   -2.72{col 59}{space 3}0.006{col 67}{space 4}-16.62936{col 80}{space 3}-2.714044
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2}  26.4767{col 39}{space 2} 11.52056{col 50}{space 1}    2.30{col 59}{space 3}0.022{col 67}{space 4} 3.896816{col 80}{space 3} 49.05659
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.7086146{col 39}{space 2} .6369887{col 50}{space 1}   -1.11{col 59}{space 3}0.266{col 67}{space 4}-1.957089{col 80}{space 3} .5398603
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .4793346{col 39}{space 2}  .085274{col 50}{space 1}    5.62{col 59}{space 3}0.000{col 67}{space 4} .3122006{col 80}{space 3} .6464686
{txt}{space 11}congDCDist_JCS {c |}{col 27}{res}{space 2} .5594533{col 39}{space 2} .4987279{col 50}{space 1}    1.12{col 59}{space 3}0.262{col 67}{space 4}-.4180353{col 80}{space 3} 1.536942
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-2.385143{col 39}{space 2} 1.023518{col 50}{space 1}   -2.33{col 59}{space 3}0.020{col 67}{space 4}-4.391201{col 80}{space 3}-.3790851
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2} -2.67546{col 39}{space 2} .8266024{col 67}{space 4}-4.295571{col 80}{space 3}-1.055349
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0688752{col 39}{space 2} .0569324{col 67}{space 4} .0136288{col 80}{space 3}  .348071
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2.39{col 56}{txt}Prob >= chibar2 = {res}0.061
{txt}
{com}. *Table 9 -- Model 4
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds d.congDCDist_JCS

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-92.616293}  
Iteration 1:{space 3}log likelihood = {res:-92.583252}  
Iteration 2:{space 3}log likelihood = {res:-92.583246}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.948833}  
Iteration 1:{space 3}log likelihood = {res:-93.182178}  
Iteration 2:{space 3}log likelihood = {res:-91.226337}  
Iteration 3:{space 3}log likelihood = {res:-90.858499}  
Iteration 4:{space 3}log likelihood = {res:-90.698737}  
Iteration 5:{space 3}log likelihood = {res:-90.695633}  
Iteration 6:{space 3}log likelihood = {res:-90.695633}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     33.33
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-90.695633{txt}{col 49}Pseudo R2{col 67}= {res}    0.1552

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 9.117039{col 39}{space 2} 4.271248{col 50}{space 1}    2.13{col 59}{space 3}0.033{col 67}{space 4} .7455466{col 80}{space 3} 17.48853
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-9.766292{col 39}{space 2} 3.780559{col 50}{space 1}   -2.58{col 59}{space 3}0.010{col 67}{space 4}-17.17605{col 80}{space 3}-2.356533
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 23.94822{col 39}{space 2} 11.93521{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .5556334{col 80}{space 3} 47.34081
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.2400277{col 39}{space 2} .5087734{col 50}{space 1}   -0.47{col 59}{space 3}0.637{col 67}{space 4}-1.237205{col 80}{space 3} .7571498
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2}  .484375{col 39}{space 2} .0877527{col 50}{space 1}    5.52{col 59}{space 3}0.000{col 67}{space 4} .3123829{col 80}{space 3} .6563671
{txt}{space 25} {c |}
{space 11}congDCDist_JCS {c |}
{space 22}D1. {c |}{col 27}{res}{space 2} .0253097{col 39}{space 2} .6139825{col 50}{space 1}    0.04{col 59}{space 3}0.967{col 67}{space 4}-1.178074{col 80}{space 3} 1.228693
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-2.227627{col 39}{space 2} 1.065931{col 50}{space 1}   -2.09{col 59}{space 3}0.037{col 67}{space 4}-4.316814{col 80}{space 3}-.1384392
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2} -2.48781{col 39}{space 2} .7018692{col 67}{space 4}-3.863448{col 80}{space 3}-1.112171
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0830918{col 39}{space 2} .0583196{col 67}{space 4} .0209955{col 80}{space 3} .3288442
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}3.78{col 56}{txt}Prob >= chibar2 = {res}0.026
{txt}
{com}. 
. 
. *Table 10 -- Add Supreme Court-President Ideological Distance
. *Table 10 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds baileyDist_President

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-99.213823}  
Iteration 1:{space 3}log likelihood = {res:-99.213529}  
Iteration 2:{space 3}log likelihood = {res:-99.213529}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.786921}  
Iteration 1:{space 3}log likelihood = {res:-94.418314}  
Iteration 2:{space 3}log likelihood = {res:-93.356489}  
Iteration 3:{space 3}log likelihood = {res:-93.319537}  
Iteration 4:{space 3}log likelihood = {res:-93.319406}  
Iteration 5:{space 3}log likelihood = {res:-93.319406}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     28.08
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-93.319406{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       jurstriptotal{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}conjudge {c |}{col 22}{res}{space 2} 9.453334{col 34}{space 2} 3.901074{col 45}{space 1}    2.42{col 54}{space 3}0.015{col 62}{space 4}  1.80737{col 75}{space 3}  17.0993
{txt}{space 12}conlegis {c |}{col 22}{res}{space 2}-8.393434{col 34}{space 2} 4.191288{col 45}{space 1}   -2.00{col 54}{space 3}0.045{col 62}{space 4}-16.60821{col 75}{space 3}-.1786612
{txt}{space 5}totalplHundreds {c |}{col 22}{res}{space 2} .5463158{col 34}{space 2} .0964558{col 45}{space 1}    5.66{col 54}{space 3}0.000{col 62}{space 4}  .357266{col 75}{space 3} .7353657
{txt}baileyDist_President {c |}{col 22}{res}{space 2} .2076606{col 34}{space 2} .6024651{col 45}{space 1}    0.34{col 54}{space 3}0.730{col 62}{space 4}-.9731493{col 75}{space 3}  1.38847
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-2.029659{col 34}{space 2} 1.466767{col 45}{space 1}   -1.38{col 54}{space 3}0.166{col 62}{space 4} -4.90447{col 75}{space 3} .8451519
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2}-1.985014{col 34}{space 2}  .487172{col 62}{space 4}-2.939854{col 75}{space 3}-1.030175
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2} .1373787{col 34}{space 2}  .066927{col 62}{space 4} .0528735{col 75}{space 3} .3569447
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}11.79{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. *Table 10 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands baileyDist_Midpoint totalplHundreds baileyDist_President

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-95.524315}  
Iteration 1:{space 3}log likelihood = {res:-95.482848}  
Iteration 2:{space 3}log likelihood = {res:-95.482835}  
Iteration 3:{space 3}log likelihood = {res:-95.482835}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.636852}  
Iteration 1:{space 3}log likelihood = {res:-94.708642}  
Iteration 2:{space 3}log likelihood = {res:-92.609989}  
Iteration 3:{space 3}log likelihood = {res:-92.319095}  
Iteration 4:{space 3}log likelihood = {res:-92.268685}  
Iteration 5:{space 3}log likelihood = {res:-92.268384}  
Iteration 6:{space 3}log likelihood = {res:-92.268384}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     30.18
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-92.268384{txt}{col 49}Pseudo R2{col 67}= {res}    0.1406

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       jurstriptotal{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}conjudge {c |}{col 22}{res}{space 2} 10.01041{col 34}{space 2} 4.294227{col 45}{space 1}    2.33{col 54}{space 3}0.020{col 62}{space 4} 1.593882{col 75}{space 3} 18.42694
{txt}{space 12}conlegis {c |}{col 22}{res}{space 2}-8.661083{col 34}{space 2}  4.40067{col 45}{space 1}   -1.97{col 54}{space 3}0.049{col 62}{space 4}-17.28624{col 75}{space 3}-.0359272
{txt}{space 20} {c |}
{space 3}workloadThousands {c |}
{space 17}D1. {c |}{col 22}{res}{space 2} .0168795{col 34}{space 2} .0209992{col 45}{space 1}    0.80{col 54}{space 3}0.422{col 62}{space 4}-.0242781{col 75}{space 3} .0580371
{txt}{space 20} {c |}
{space 1}baileyDist_Midpoint {c |}{col 22}{res}{space 2}-.4989667{col 34}{space 2} .5184637{col 45}{space 1}   -0.96{col 54}{space 3}0.336{col 62}{space 4}-1.515137{col 75}{space 3} .5172034
{txt}{space 5}totalplHundreds {c |}{col 22}{res}{space 2} .5167319{col 34}{space 2} .0942239{col 45}{space 1}    5.48{col 54}{space 3}0.000{col 62}{space 4} .3320564{col 75}{space 3} .7014074
{txt}baileyDist_President {c |}{col 22}{res}{space 2} .0506911{col 34}{space 2} .5965859{col 45}{space 1}    0.08{col 54}{space 3}0.932{col 62}{space 4}-1.118596{col 75}{space 3} 1.219978
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.791319{col 34}{space 2} 1.429439{col 45}{space 1}   -1.25{col 54}{space 3}0.210{col 62}{space 4}-4.592968{col 75}{space 3}  1.01033
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2}-2.197454{col 34}{space 2} .5776276{col 62}{space 4}-3.329583{col 75}{space 3}-1.065325
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2} .1110856{col 34}{space 2} .0641661{col 62}{space 4}  .035808{col 75}{space 3}  .344616
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}6.43{col 56}{txt}Prob >= chibar2 = {res}0.006
{txt}
{com}. *Table 10 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds baileyDist_President

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-92.611501}  
Iteration 1:{space 3}log likelihood = {res:-92.579285}  
Iteration 2:{space 3}log likelihood = {res:-92.579279}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.956661}  
Iteration 1:{space 3}log likelihood = {res:-93.231369}  
Iteration 2:{space 3}log likelihood = {res:-91.243129}  
Iteration 3:{space 3}log likelihood = {res:-90.884453}  
Iteration 4:{space 3}log likelihood = {res:-90.698819}  
Iteration 5:{space 3}log likelihood = {res:-90.695088}  
Iteration 6:{space 3}log likelihood = {res:-90.695088}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     33.33
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-90.695088{txt}{col 49}Pseudo R2{col 67}= {res}    0.1552

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 9.046978{col 39}{space 2}  4.00015{col 50}{space 1}    2.26{col 59}{space 3}0.024{col 67}{space 4} 1.206828{col 80}{space 3} 16.88713
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-9.818042{col 39}{space 2} 4.062772{col 50}{space 1}   -2.42{col 59}{space 3}0.016{col 67}{space 4}-17.78093{col 80}{space 3}-1.855156
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 24.07254{col 39}{space 2} 11.75613{col 50}{space 1}    2.05{col 59}{space 3}0.041{col 67}{space 4} 1.030946{col 80}{space 3} 47.11414
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.2406751{col 39}{space 2}   .50632{col 50}{space 1}   -0.48{col 59}{space 3}0.635{col 67}{space 4}-1.233044{col 80}{space 3} .7516938
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .4830812{col 39}{space 2} .0906398{col 50}{space 1}    5.33{col 59}{space 3}0.000{col 67}{space 4} .3054305{col 80}{space 3} .6607319
{txt}{space 5}baileyDist_President {c |}{col 27}{res}{space 2} -.029708{col 39}{space 2}   .56279{col 50}{space 1}   -0.05{col 59}{space 3}0.958{col 67}{space 4}-1.132756{col 80}{space 3}  1.07334
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} -2.17294{col 39}{space 2} 1.345676{col 50}{space 1}   -1.61{col 59}{space 3}0.106{col 67}{space 4}-4.810416{col 80}{space 3}  .464536
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.486407{col 39}{space 2} .7021458{col 67}{space 4}-3.862587{col 80}{space 3}-1.110226
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0832084{col 39}{space 2} .0584244{col 67}{space 4} .0210136{col 80}{space 3} .3294844
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}3.77{col 56}{txt}Prob >= chibar2 = {res}0.026
{txt}
{com}. 
. 
. *Table 11 -- Add Congress-President Ideological Distance
. *Table 11 -- Model 1
. nbreg jurstriptotal conjudge conlegis totalplHundreds baileyDist_midCongPres

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-98.705542}  
Iteration 1:{space 3}log likelihood = {res:-98.704746}  
Iteration 2:{space 3}log likelihood = {res:-98.704746}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.569559}  
Iteration 1:{space 3}log likelihood = {res:-94.156417}  
Iteration 2:{space 3}log likelihood = {res:-92.910284}  
Iteration 3:{space 3}log likelihood = {res:-92.861989}  
Iteration 4:{space 3}log likelihood = {res:-92.861745}  
Iteration 5:{space 3}log likelihood = {res:-92.861745}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     28.99
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-92.861745{txt}{col 49}Pseudo R2{col 67}= {res}    0.1350

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         jurstriptotal{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}conjudge {c |}{col 24}{res}{space 2} 8.013696{col 36}{space 2}  4.05637{col 47}{space 1}    1.98{col 56}{space 3}0.048{col 64}{space 4} .0633568{col 77}{space 3} 15.96404
{txt}{space 14}conlegis {c |}{col 24}{res}{space 2}-9.817736{col 36}{space 2} 3.853575{col 47}{space 1}   -2.55{col 56}{space 3}0.011{col 64}{space 4} -17.3706{col 77}{space 3}-2.264868
{txt}{space 7}totalplHundreds {c |}{col 24}{res}{space 2} .5302133{col 36}{space 2} .0939648{col 47}{space 1}    5.64{col 56}{space 3}0.000{col 64}{space 4} .3460458{col 77}{space 3} .7143809
{txt}baileyDist_midCongPres {c |}{col 24}{res}{space 2} .4559562{col 36}{space 2} .4492799{col 47}{space 1}    1.01{col 56}{space 3}0.310{col 64}{space 4}-.4246161{col 77}{space 3} 1.336529
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-1.577274{col 36}{space 2} 1.098458{col 47}{space 1}   -1.44{col 56}{space 3}0.151{col 64}{space 4}-3.730212{col 77}{space 3} .5756647
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/lnalpha {c |}{col 24}{res}{space 2}-2.011416{col 36}{space 2} .4880062{col 64}{space 4}-2.967891{col 77}{space 3}-1.054942
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 alpha {c |}{col 24}{res}{space 2} .1337991{col 36}{space 2} .0652948{col 64}{space 4} .0514116{col 77}{space 3} .3482127
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}11.69{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. *Table 11 -- Model 2
. nbreg jurstriptotal conjudge conlegis d.workloadThousands baileyDist_Midpoint totalplHundreds baileyDist_midCongPres

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-94.525197}  
Iteration 1:{space 3}log likelihood = {res:-94.484469}  
Iteration 2:{space 3}log likelihood = {res:-94.484457}  
Iteration 3:{space 3}log likelihood = {res:-94.484457}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-97.386322}  
Iteration 1:{space 3}log likelihood = {res:  -94.7042}  
Iteration 2:{space 3}log likelihood = {res:-92.368787}  
Iteration 3:{space 3}log likelihood = {res:-92.323147}  
Iteration 4:{space 3}log likelihood = {res:-91.676988}  
Iteration 5:{space 3}log likelihood = {res:-91.659541}  
Iteration 6:{space 3}log likelihood = {res:-91.659526}  
Iteration 7:{space 3}log likelihood = {res:-91.659526}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     31.40
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-91.659526{txt}{col 49}Pseudo R2{col 67}= {res}    0.1462

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         jurstriptotal{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}conjudge {c |}{col 24}{res}{space 2} 8.410518{col 36}{space 2} 4.477293{col 47}{space 1}    1.88{col 56}{space 3}0.060{col 64}{space 4}-.3648159{col 77}{space 3} 17.18585
{txt}{space 14}conlegis {c |}{col 24}{res}{space 2}-9.429199{col 36}{space 2} 3.939201{col 47}{space 1}   -2.39{col 56}{space 3}0.017{col 64}{space 4}-17.14989{col 77}{space 3}-1.708507
{txt}{space 22} {c |}
{space 5}workloadThousands {c |}
{space 19}D1. {c |}{col 24}{res}{space 2} .0195289{col 36}{space 2} .0207341{col 47}{space 1}    0.94{col 56}{space 3}0.346{col 64}{space 4}-.0211093{col 77}{space 3} .0601671
{txt}{space 22} {c |}
{space 3}baileyDist_Midpoint {c |}{col 24}{res}{space 2}-.4834386{col 36}{space 2} .5019703{col 47}{space 1}   -0.96{col 56}{space 3}0.336{col 64}{space 4}-1.467282{col 77}{space 3} .5004052
{txt}{space 7}totalplHundreds {c |}{col 24}{res}{space 2} .5033151{col 36}{space 2} .0910204{col 47}{space 1}    5.53{col 56}{space 3}0.000{col 64}{space 4} .3249185{col 77}{space 3} .6817118
{txt}baileyDist_midCongPres {c |}{col 24}{res}{space 2} .4834922{col 36}{space 2} .4352587{col 47}{space 1}    1.11{col 56}{space 3}0.267{col 64}{space 4}-.3695992{col 77}{space 3} 1.336584
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-1.547953{col 36}{space 2} 1.117902{col 47}{space 1}   -1.38{col 56}{space 3}0.166{col 64}{space 4}   -3.739{col 77}{space 3}  .643095
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/lnalpha {c |}{col 24}{res}{space 2} -2.27595{col 36}{space 2} .6043727{col 64}{space 4}-3.460499{col 77}{space 3}-1.091401
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 alpha {c |}{col 24}{res}{space 2} .1026993{col 36}{space 2} .0620686{col 64}{space 4} .0314141{col 77}{space 3} .3357457
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}5.65{col 56}{txt}Prob >= chibar2 = {res}0.009
{txt}
{com}. *Table 11 -- Model 3
. nbreg jurstriptotal conjudge conlegis workloadPerJudge_District baileyDist_Midpoint totalplHundreds baileyDist_midCongPres

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-91.399803}  
Iteration 1:{space 3}log likelihood = {res:-91.367759}  
Iteration 2:{space 3}log likelihood = {res:-91.367755}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-111.34022}  
Iteration 1:{space 3}log likelihood = {res: -107.3588}  
Iteration 2:{space 3}log likelihood = {res:-107.35859}  
Iteration 3:{space 3}log likelihood = {res:-107.35859}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-96.761638}  
Iteration 1:{space 3}log likelihood = {res:-93.564565}  
Iteration 2:{space 3}log likelihood = {res:-92.188532}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-91.621147}  
Iteration 4:{space 3}log likelihood = {res:-90.605198}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-90.123538}  
Iteration 6:{space 3}log likelihood = {res: -89.95322}  
Iteration 7:{space 3}log likelihood = {res:-89.951784}  
Iteration 8:{space 3}log likelihood = {res:-89.951784}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        39
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     34.81
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-89.951784{txt}{col 49}Pseudo R2{col 67}= {res}    0.1621

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            jurstriptotal{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}conjudge {c |}{col 27}{res}{space 2} 7.598428{col 39}{space 2} 4.071203{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.3809827{col 80}{space 3} 15.57784
{txt}{space 17}conlegis {c |}{col 27}{res}{space 2}-10.66517{col 39}{space 2} 3.719126{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4}-17.95452{col 80}{space 3}-3.375817
{txt}workloadPerJudge_District {c |}{col 27}{res}{space 2} 25.23912{col 39}{space 2} 11.46141{col 50}{space 1}    2.20{col 59}{space 3}0.028{col 67}{space 4} 2.775178{col 80}{space 3} 47.70306
{txt}{space 6}baileyDist_Midpoint {c |}{col 27}{res}{space 2}-.2116043{col 39}{space 2} .4920158{col 50}{space 1}   -0.43{col 59}{space 3}0.667{col 67}{space 4}-1.175938{col 80}{space 3} .7527289
{txt}{space 10}totalplHundreds {c |}{col 27}{res}{space 2} .4738556{col 39}{space 2}  .086083{col 50}{space 1}    5.50{col 59}{space 3}0.000{col 67}{space 4}  .305136{col 80}{space 3} .6425752
{txt}{space 3}baileyDist_midCongPres {c |}{col 27}{res}{space 2} .5065991{col 39}{space 2} .4120896{col 50}{space 1}    1.23{col 59}{space 3}0.219{col 67}{space 4}-.3010817{col 80}{space 3}  1.31428
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-2.120593{col 39}{space 2} 1.018226{col 50}{space 1}   -2.08{col 59}{space 3}0.037{col 67}{space 4}-4.116278{col 80}{space 3}-.1249073
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/lnalpha {c |}{col 27}{res}{space 2}-2.632393{col 39}{space 2} .7790878{col 67}{space 4}-4.159377{col 80}{space 3}-1.105409
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    alpha {c |}{col 27}{res}{space 2} .0719062{col 39}{space 2} .0560212{col 67}{space 4} .0156173{col 80}{space 3} .3310754
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2.83{col 56}{txt}Prob >= chibar2 = {res}0.046
{txt}
{com}. 
. 
. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jura\Documents\psrm_replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 8 Jun 2020, 14:18:40
{txt}{.-}
{smcl}
{txt}{sf}{ul off}